What is the difference between LangProtect and Lakera?

Both platforms provide AI security across applications, agents, and workforce AI usage. LangProtect brings runtime protection, AI governance, agent security, MCP monitoring, and workforce protection together through a unified platform. Lakera provides AI Guardrails, AI Agent Security, Workforce AI Security, and AI Red Teaming as part of its broader Check Point AI Security platform.

Which platform is better for runtime AI security?

Both provide strong runtime AI security. LangProtect uses a dedicated AI Firewall with centralized policies and multiple security scanners, while Lakera uses AI Guardrails to inspect prompts, reference content, outputs, tool calls, and tool responses in real time. Lakera's Guard API is particularly mature for developers integrating runtime protection directly into AI applications.

Does Lakera protect AI agents?

Yes. Lakera's AI Agent Security provides agent discovery, risk assessment, and runtime protection. It can inventory agents, tools, and connected MCP servers and assess agent risks against frameworks including OWASP and MITRE ATLAS. The product is currently documented as an Early Access release.

Does LangProtect support AI agent security?

Yes. LangProtect provides AI agent protection and MCP monitoring through its agent security capabilities, allowing organizations to protect agent interactions, tool usage, and connected workflows.

Which platform is better for workforce AI governance?

Both platforms provide workforce AI security. LangProtect combines browser and desktop protection with centralized AI governance, while Lakera's Workforce AI Security covers browser, desktop, developer tools, coding agents, and MCP-connected workflows.

Does Lakera support MCP security?

Yes. Lakera's AI Agent Security can discover connected MCP servers and protect MCP-related agent interactions. Its runtime defenses can also inspect tool calls and tool responses, while Agent Behavior Defense can restrict which tools an agent is allowed to call.

Can LangProtect replace Lakera?

It depends on your organization's requirements. If you want a unified platform combining AI runtime security, workforce governance, agent protection, MCP monitoring, customizable scanners, and centralized policy management, LangProtect is designed for that model. Lakera may be a strong fit for organizations prioritizing its mature AI Guardrails, threat intelligence, and AI red-teaming capabilities.

Which platform is easier to manage?

LangProtect is designed around a unified management experience across its AI security capabilities. Lakera provides centralized policy management for AI Guardrails, while its broader AI security platform includes distinct capabilities for workforce security, agent security, and red teaming.

Does Lakera support self-hosted deployment?

Yes. AI Guardrails is available as both SaaS and self-hosted software. However, the management experience differs between the two: SaaS provides web-based policy management and platform-managed model calibration, while self-hosted deployments use customer-managed configuration and infrastructure.

Which platform is better for enterprise AI security?

Both are capable enterprise AI security platforms. Lakera is particularly strong in runtime guardrails, AI threat intelligence, agent security, and red teaming. LangProtect is positioned around a unified security and governance layer spanning AI applications, agents, MCP workflows, and employee AI usage, making it a strong option for organizations that prioritize centralized AI security operations.

LangProtect vs Lakera

Compare LangProtect and Lakera across AI security, runtime protection, AI agent security, workforce AI governance, deployment, and enterprise capabilities to find the right platform for your organization.

How they differ

Compare their approaches to securing AI applications, agents, and workforce AI.

LangProtect

Enterprise AI Security Platform

A unified AI security platform that protects AI applications, AI agents, and employee AI usage through runtime security, AI governance, AI firewall capabilities, policy enforcement, and centralized visibility.

Lakera

Enterprise AI Security Platform

An AI security platform that protects GenAI applications, AI agents, and workforce AI usage through AI Guardrails, agent discovery and risk assessment, runtime threat detection, workforce security, and AI red teaming.

Who should choose which?

While both LangProtect and Lakera provide broad AI security capabilities, their platforms differ in architecture, deployment, and how they bring runtime protection, governance, and agent security together.

Choose LangProtect if

You want a unified platform for securing AI applications, AI agents, and employee AI usage.
You need centralized AI security policies, custom scanners, compliance controls, and analytics across your AI environment.
You want dedicated browser and desktop protection alongside runtime AI security.
You need AI security capabilities that can be managed from a single platform as your AI environment grows.

Choose Lakera if

Your priority is mature runtime AI protection built around AI Guardrails and API-based application security.
You want strong protection against prompt injection, jailbreaks, data leakage, malicious links, and unsafe agent behavior.
You need AI security testing and threat intelligence informed by Lakera's security research and red-teaming capabilities.
You want to assess AI agents and MCP-connected systems alongside runtime protection.

Choose both if

You want to combine LangProtect's unified AI security and governance capabilities with Lakera's runtime guardrails and AI security research.
Your organization has separate requirements for workforce governance, AI application protection, agent security, and adversarial testing that may benefit from complementary controls.

What each platform does

LangProtect and Lakera both provide broad AI security capabilities, from runtime protection and prompt defense to AI agent and workforce security. The key differences are in how those capabilities are packaged, customized, and managed across the enterprise.

Capability	LangProtect	Lakera	Advantage
Runtime AI Security	Native AI Firewall for real-time inspection and enforcement across AI applications	AI Guardrails screens user inputs, reference content, outputs, and agent interactions in real time	Tie
Prompt Injection Protection	Dedicated prompt injection scanner with real-time blocking	Detects direct, indirect, obfuscated, and jailbreak-style prompt attacks	Tie
Jailbreak Detection	Dedicated jailbreak protection	Continuously updated jailbreak detection	Tie
Hidden Prompt Detection	Dedicated hidden-text and hidden-instruction detection	Indirect and hidden prompt attacks are covered through Prompt Defense	LangProtect
Sensitive Data Protection	PII, PHI, secrets, API keys, and custom entities	Data Leakage Prevention with PII and sensitive-data detection	Tie
Custom Security Scanners	30+ built-in scanners plus Custom Scanner Builder	Custom guardrails, regex detectors, allow/deny lists, and policy configuration	LangProtect
AI Firewall	Dedicated AI Firewall architecture	AI Guardrails provides API-based runtime enforcement	LangProtect
Desktop Protection	Dedicated desktop application	Endpoint components provide desktop and application visibility	LangProtect
Custom Policy Creation	Visual policy engine and Custom Scanner Builder	Custom guardrails, regex rules, thresholds, and allow/deny lists	LangProtect
Compliance Templates	Industry-specific templates including Healthcare, Financial Services, and Education	Security and compliance controls with enterprise governance capabilities	LangProtect

What it takes to deploy each day

Both platforms secure enterprise AI, but they differ in deployment and operational approach.

LangProtect

Unified AI security platform combining runtime protection, workforce AI governance, AI agent security, MCP monitoring, policy management, and centralized analytics. Browser extension, desktop application, APIs, and AI Firewall capabilities are managed through the platform.

Lakera

AI security platform built around AI Guardrails, AI Agent Security, Workforce AI Security, and AI Red Teaming. AI Guardrails can be deployed through SaaS or self-hosted infrastructure, while workforce protection uses endpoint components across employee devices.

Time to first value

Hours

Minutes to Days depending on whether the organization uses the SaaS Guard API or deploys self-hosted AI Guardrails.

WHAT IT MUST CHANGE

Connect AI applications through the AI Firewall or APIs.
Deploy the browser extension and/or desktop application for workforce protection.
Configure organization-wide policies from the centralized platform

Deploy the browser extension and/or desktop application for workforce protection.
Connect AI applications through the AI Firewall or APIs.
Configure organization-wide policies from the centralized platform.

PREREQUISITES

Connect AI applications through the AI Firewall or APIs.
Deploy the browser extension and/or desktop application for workforce protection.
Configure organization-wide policies from the centralized platform

API credentials and application/API integration for AI Guardrails
Endpoint deployment for workforce monitoring
Supported cloud or agent-platform connections for AI Agent Security
Kubernetes, Docker, or compatible infrastructure for self-hosted deployments
Administrator access for policy configuration

What Your Security Review Will Ask

Here's how LangProtect and Lakera compare across the criteria enterprise security teams typically evaluate.

Evaluation Criteria	LangProtect	Lakera
What problem does it solve?	Unified AI security across AI applications, AI agents, MCP workflows, and employee AI usage.	AI security across employees, AI applications, and autonomous agents through AI Guardrails, AI Agent Security, and Workforce AI Security.
Primary deployment model	Unified platform with centralized management across runtime, workforce, and agent security.	API-first architecture with AI Guardrails, plus separate components for workforce and agent security.
Runtime protection	Native AI Firewall with real-time inspection and enforcement.	AI Guardrails protects prompts, outputs, tool calls, tool responses, and tool descriptions through the Guard API.
Workforce AI security	Browser and desktop protection with centralized governance.	Workforce AI Security covers browsers, desktop applications, IDEs, coding agents, and MCP-connected tools.
AI agent security	Runtime protection, agent security, and MCP governance through the LangProtect platform.	Agent discovery, risk assessment, and runtime protection through AI Guardrails. Native platform runtime integrations are still on the roadmap.
Policy management	Centralized policy engine with custom scanners and configurable controls.	Project-based policies configure guardrails, sensitivity levels, custom threats, and enforcement.
Threat intelligence	AI security scanners and centralized threat analytics.	Strong AI threat intelligence informed by Lakera's security research, Gandalf, and red-team operations.
Security testing	Interactive security playgrounds for testing prompts, policies, and AI security controls.	AI security evaluations, datasets, playgrounds, and expert-led AI red teaming.
Compliance & governance	Industry-specific policy templates, centralized audit controls, and governance reporting.	Enterprise governance, audit controls, RBAC, data-retention controls, and compliance-oriented security policies.

Frequently Asked Questions

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